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» A deformable local image descriptor
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PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 2 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
PAMI
2010
265views more  PAMI 2010»
13 years 6 months ago
WLD: A Robust Local Image Descriptor
—Inspired by Weber’s Law, this paper proposes a simple, yet very powerful and robust local descriptor, called the Weber Local Descriptor (WLD). It is based on the fact that hum...
Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, Mat...
CVPR
2007
IEEE
14 years 9 months ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown
CVPR
2008
IEEE
14 years 9 months ago
Local deformation models for monocular 3D shape recovery
Without a deformation model, monocular 3D shape recovery of deformable surfaces is severly under-constrained. Even when the image information is rich enough, prior knowledge of th...
Mathieu Salzmann, Raquel Urtasun, Pascal Fua
CVPR
2011
IEEE
12 years 11 months ago
Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor
A novel local image descriptor is proposed in this paper, which combines intensity orders and gradient distributions in multiple support regions. The novelty lies in three aspects...
Bin Fan, Fuchao Wu, Zhanyi Hu